This paper describes evolutionary image filter design for noise reduction using particle swarm optimization (PSO), where mixed constraints on the circuit complexity, power and signal delay are optimized. First, the evaluating values about correctness, complexity, power and signal delay are introduced to the fitness function. Then PSO autonomously synthesizes a filter. To verify the validity of our method, an image filter for noise reduction is synthesized. The performance of resultant filter by PSO is similar to that of Genetic Algorithm (GA), but the running time of PSO is 10% shorter than that of GA.